4 citations · 8 across the 6 of their papers we have counts for
5 papers · 1 filter
Leveraging Teaching on Demand: Approaching HPC to Undergrads
S. Catalán, R. Carratalá-Sáez, S. Iserte
High Performance Computing (HPC) is a highly demanded discipline in companies and institutions. However, as students and also afterwards as professors, we observed a lack of HPC re…
Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors
Héctor Martínez, Sandra Catalán, Francisco D. Igual +3
This paper advocates for an intertwined design of the dense linear algebra software stack that breaks down the strict barriers between the high-level, blocked algorithms in LAPACK…
Programming Parallel Dense Matrix Factorizations with Look-Ahead and OpenMP
Sandra Catalán, Adrián Castelló, Francisco D. Igual +2
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extra…
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization with Partial Pivoting
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí +2
We propose two novel techniques for overcoming load-imbalance encountered when implementing so-called look-ahead mechanisms in relevant dense matrix factorizations for the solution…
Performance and Energy Optimization of Matrix Multiplication on Asymmetric big.LITTLE Processors
Sandra Catalán, Francisco D. Igual, Rafael Mayo +3
Asymmetric processors have emerged as an appealing technology for severely energy-constrained environments, especially in the mobile market where heterogeneity in applications is m…